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Explaining large language models to beginners v1.0.0

Use this resource to explain large language models to a non-technical audience

New

  • 290 downloads
  • 106 likes
  • 67 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install llm-explainer-for-beginners

First time: connect the CLI with

npx --yes palatekit@latest login

The prompt asks the assistant to define a large language model, present its uses (writing, translation, summarizing, question answering) and give concrete examples. You get a plain explanation that encourages hands-on experimentation.

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Updated November 2, 2026

Card for the “Explaining large language models to beginners” prompt

Details

Generates with
Your agent's model
Licence
CC0-1.0

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What you get

  • The full prompt, ready to paste
  • Definition, uses and concrete examples
  • Variables to replace: ${task}, ${language}

Good fit for

  • An introductory training session for a team
  • An educational article for non-specialists

Not for

    Tags

    • ai
    • language models
    • beginners

    About

    You say

    “Explain LLMs to a craftsman, with an example for writing quotes.”

    Card for the “Explaining large language models to beginners” prompt

    Prompt published by 3905020@gmail.com under the CC0-1.0 license, delivered in its original version.

    Show more

    How to use it

    1. Paste the prompt into your assistant or agent
    2. Ask it to explain large language models to a non-technical audience
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE0.6 KB
    • llm-explainer-for-beginners.md0.9 KB
    • NOTICE-PALATEKIT.md0.5 KB

    Origin and licence

    Listed unmodified

    Author
    3905020@gmail.com
    Source
    github.com/f/prompts.chat/blob/cecef6fc73c2c389770695a56252d331981727de/prompts.csv
    Licence
    CC0-1.0

    Notice

    « Understanding and Utilizing LLMs » (3905020@gmail.com, CC0-1.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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